Title :
The application of adaptive genetic reduction algorithm in pulse Doppler radar
Author :
Xu Guoxin ; Pan Wei
Author_Institution :
Training Dept., Shenyang Artillery Acad., Shenyang, China
Abstract :
The adaptive genetic reduction algorithm based on knowledge dependability designed as a general optimization method was applied to the ambiguity resolution of pulse Doppler (PD) radar. The fitness, based on squared error for multi-PRF (pulse repeat frequency) consecutive ordered ranges, was designed. The crossover operator and the conditions of ending in GA were discussed. The relations among the probability of ambiguity resolution of this algorithm, the measurement error and the computational efficiency were analyzed. Simulation results show the GA ambiguity resolution algorithm does better than the sliding window algorithm on the probability of ambiguity resolution.
Keywords :
Doppler radar; genetic algorithms; measurement errors; probability; radar resolution; GA; PD; adaptive genetic reduction algorithm; ambiguity resolution algorithm; ambiguity resolution probability; computational efficiency analysis; general optimization method; knowledge dependability; measurement error; multiPRF consecutive ordered range; pulse Doppler radar; pulse repeat frequency; sliding window algorithm; Algorithm design and analysis; Biological cells; Genetic algorithms; Genetics; Measurement uncertainty; Sociology; Statistics; PD radar; adaptive genetic algorithm; ambiguity resolution; rough set; sliding window;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561067
